Moduli Spaces: New Directions

模空间:新方向

基本信息

  • 批准号:
    1701704
  • 负责人:
  • 金额:
    $ 20万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-07-15 至 2022-06-30
  • 项目状态:
    已结题

项目摘要

Algebraic geometry studies varieties: shapes defined by systems of polynomial equations. Polynomial constraints on parameters are quite common both in mathematics (for example, Diophantine equations in number theory, such as the famous Fermat equation) and in broader applications ranging from physics, where algebraic varieties are used to describe various configuration spaces (and even the shape of the universe!), to engineering and algebraic statistics. The inherent rigidity of polynomials, especially compared to more flexible transformations allowed in topology and differential geometry, makes possible to apply a wide range of techniques coming from algebra (the study of rings and modules) and even number theory, for example reduction modulo prime numbers. One of the most basic problems in algebraic geometry is to learn how to classify and distinguish geometric properties of algebraic varieties. In addition to discrete parameters, mostly of topological nature, algebraic varieties also have continuous parameters called "moduli". For example, Riemann surfaces (such as a sphere or a torus) are classified topologically by the number of holes (the genus). It was known already to Riemann that they also have 3g-3 continuous complex parameters (g is the genus). Quite remarkably, these parameters can be interpreted as coordinates on the "moduli space": the master space that encodes all possible geometric structures of a given topological shape. The PI is an expert on moduli spaces of low-dimensional varieties (curves and surfaces). The project will focus on developing new techniques and approaches to their study. The first approach is based on convex geometry, which studies shapes defined by linear inequalities (such as polygons and polyhedra). An idea that goes back to Newton is to capture asymptotic behavior of a distinguished system of functions to construct a polyhedral approximation of a curved geometry. Another approach is linearization. Derived categories linearize geometries just like tangent lines approximate graphs of functions. The PI aims to understand derived categories of several moduli spaces. Finally, moduli spaces can be studied using number theory by reducing them modulo prime numbers. To this end, moduli spaces have to be equipped with extra data to parametrize complex and finite geometries simultaneously. In addition to advancing algebraic geometry, the proposed research program contributes to the development of a diverse, globally competitive STEM workforce through recruiting, training, and supervising of graduate and undergraduate students and providing resources for their research, teaching, and professional development. In particular, the project includes three problems specifically tailored for REU (Research Experience for Undergraduates) as well as several PhD thesis problems. The PI will also continue to develop graduate and undergraduate courses, including courses designed to introduce a broader public to mathematics and science.The PI will work on several fundamental problems in algebraic geometry with a focus on compact moduli spaces of local systems, curves and surfaces. The PI has previously developed applications of classical "commutative" tropicalization of subvarieties in algebraic tori to moduli spaces. Recently, classical tropical geometry was extended by the PI and his graduate student Vogiannou to a "non-commutative" setting and the PI proposes to use this generalization to construct a geometrically meaningful compactification of the moduli space of local systems on a punctured Riemann sphere. In collaboration with Castravet, the PI intends to verify a conjecture of Orlov and Kuznetsov on derived category of the moduli space of stable rational curves (and related spaces) and to apply this description to find its non-commutative deformations. The PI also intends to use the theory of windows as developed by Halpern-Leistner to solve some open problems about derived categories of toric and log Fano varieties. In collaboration with Freixas i Montplet, the PI proposes to systematically develop Arakelov geometry of the moduli space of curves and to apply it to questions in number theory. The PI proposes several new projects on moduli of surfaces in collaboration with Urzua, including constructions of moduli spaces of surfaces with QHD singularities (admitting smoothings with rational homology disc Milnor fiber) and families of antiflips of total spaces of deformations of cyclic quotient singularities in the direction of answering a question of Kollar. In addition there are three projects tailored for REUs: Seshadri constants on toric and elliptic ruled surfaces, and equations of log canonical compactifications of complements of hyperplane arrangements.
代数几何学研究的是各种各样的:由多项式方程组定义的形状。多项式对参数的约束在数学(例如,数论中的丢番图方程,如著名的费马方程)和更广泛的应用中都很常见,从物理学,代数簇用于描述各种配置空间(甚至宇宙的形状!),工程学和代数统计学。多项式的固有刚性,特别是与拓扑学和微分几何中允许的更灵活的变换相比,使得可以应用来自代数(环和模的研究)和偶数理论的广泛技术,例如简化模素数。代数几何中最基本的问题之一是学习如何对代数簇的几何性质进行分类和判别。除了离散参数,大多数拓扑性质,代数簇也有连续参数称为“模”。例如,黎曼曲面(如球面或环面)可以通过孔的数量(亏格)进行拓扑分类。这是已知的已经黎曼,他们也有3g-3连续复杂的参数(g是属)。非常值得注意的是,这些参数可以被解释为“模空间”上的坐标:编码给定拓扑形状的所有可能几何结构的主空间。PI是低维模空间(曲线和曲面)的专家。该项目将侧重于开发新的技术和研究方法。第一种方法是基于凸几何,它研究由线性不等式定义的形状(如多边形和多面体)。一个可以追溯到牛顿的想法是捕捉一个杰出的函数系统的渐近行为,以构建一个曲面几何的多面体近似。另一种方法是线性化。导出范畴线性化几何,就像切线近似函数的图形。PI的目的是理解几个模空间的导出范畴。最后,模空间可以用数论来研究,通过把它们归约为模素数。为此,模空间必须配备额外的数据,以同时参数化复杂和有限的几何形状。除了推进代数几何,拟议的研究计划通过招聘,培训和监督研究生和本科生,并为他们的研究,教学和专业发展提供资源,有助于发展多元化,具有全球竞争力的STEM劳动力。特别是,该项目包括三个专门为REU(本科生研究经验)量身定制的问题以及几个博士论文问题。PI还将继续开发研究生和本科生课程,包括旨在向更广泛的公众介绍数学和科学的课程。PI将研究代数几何中的几个基本问题,重点是局部系统,曲线和曲面的紧致模空间。PI以前已经开发了经典的应用程序“交换”热带化的代数环面模空间的子品种。最近,经典的热带几何被PI和他的研究生Vogiannou扩展到“非交换”设置,PI建议使用这种推广来构建一个有几何意义的紧化局部系统的模空间穿孔黎曼球面。在与Castravet的合作中,PI打算验证奥尔洛夫和库兹涅佐夫关于稳定有理曲线(和相关空间)的模空间的导出范畴的猜想,并应用此描述来找到其非交换变形。PI还打算使用由Halpern-Leistner开发的窗口理论来解决一些关于环面和对数Fano变种的衍生类别的开放问题。与Freixas i Montplet合作,PI提出系统地发展曲线模空间的Arakelov几何,并将其应用于数论问题。PI与Urzua合作提出了几个关于曲面模的新项目,包括QHD奇点曲面的模空间的构造(允许有理同调圆盘Milnor纤维的平滑)和在回答Kollar问题的方向上循环商奇点变形的总空间的反翻转家族。此外,还有三个项目量身定制的雷乌斯:Seshadri常数复曲面和椭圆形直曲面,和方程的对数正则紧化的补充超平面安排。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Exceptional collections on certain Hassett spaces
某些哈塞特空间的特殊藏品
SPHERICAL TROPICALIZATION
球形热带化
  • DOI:
    10.1007/s00031-021-09641-4
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0.7
  • 作者:
    TEVELEV, J.;VOGIANNOU, T.
  • 通讯作者:
    VOGIANNOU, T.
Derived category of moduli of pointed curves. I
尖曲线模的派生类别。
  • DOI:
    10.14231/ag-2020-026
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Ana;J. Tevelev
  • 通讯作者:
    J. Tevelev
Compactifications of Moduli of Points and Lines in the Projective Plane
射影平面上点和线模的紧化
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Evgueni Tevelev其他文献

Evgueni Tevelev的其他文献

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{{ truncateString('Evgueni Tevelev', 18)}}的其他基金

Conference: Latin American School of Algebraic Geometry
会议:拉丁美洲代数几何学院
  • 批准号:
    2401164
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Novel Approaches to Geometry of Moduli Spaces
模空间几何的新方法
  • 批准号:
    2401387
  • 财政年份:
    2024
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
New Frontiers of Algebraic Geometry
代数几何新领域
  • 批准号:
    2101726
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Latin American School of Algebraic Geometry and Applications (ELGA IV)
拉丁美洲代数几何及其应用学院 (ELGA IV)
  • 批准号:
    1935081
  • 财政年份:
    2019
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Moduli spaces of curves and surfaces
曲线和曲面的模空间
  • 批准号:
    1303415
  • 财政年份:
    2013
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Geometry of Moduli Spaces of Curves and Surfaces
曲线曲面模空间的几何
  • 批准号:
    1001344
  • 财政年份:
    2010
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
SM: Collaborative Proposal: AGNES - Algebraic Geometry Northeastern Series
SM:协作提案:AGNES - 代数几何东北系列
  • 批准号:
    0963853
  • 财政年份:
    2010
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Geometry of Compact Moduli Spaces
紧模空间的几何
  • 批准号:
    0701191
  • 财政年份:
    2007
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

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    2023
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Connecting Model Theory and Function Spaces: New Applications in Analysis and Machine Learning
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